What the Data for This Category Looks Like
Coking coal-related data originates from three main sources: domestic producing area spot quotation platforms, futures exchange contract data, and industry monthly supply and demand reports. Spot quotations update daily, futures market data pushes in real time, and industry reports release every two weeks or monthly. Single spot data entries include producing area name, specification parameters, quotation unit, latest quotation, trading volume, and release time. Batch reports include statistical fields for regional production capacity, import and export volume, and operating rate. All data fields focus on core supply, demand, and trading indicators across the industrial chain, with no redundant additional fields.
Constraints for Tool Calling and Plugins
Dispersed data sources require integration with multiple plugin types. Field naming varies across different data sources, so field mapping rules must be configured. Update frequencies differ sharply between data types: real-time market data needs high-frequency polling, while industry reports require scheduled batch pulls. Differentiated calling cycles must be set for each plugin. Specification parameters for coking coal are core trading references. Tool calls must strictly match field types and value ranges to avoid invalid results from parameter mismatches. Some data sources impose access restrictions, so authentication parameters must be configured to ensure compliant calling permissions.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
tool_call_max_retries | 2–3 times | Some interfaces of coking coal data sources occasionally time out. Retrying 2-3 times reduces failure rates and avoids quota consumption from excessive calls |
plugin_request_timeout | 10–30 seconds | Futures interfaces respond quickly, while spot platforms have network delays. This interval covers response durations for most data sources |
field_mapping_rule | Bind coking coal-specific specification field mappings | Naming of specification parameters differs across data sources. Unified field names must be bound to core coking coal trading indicators |
scheduled_call_interval | Real-time market data: 1 minute, industry reports: 1 day | Real-time market data requires high-frequency updates to match the timeliness of marketing content. Industry reports do not need frequent pulling |
tool_call_output_filter | Retain producing area, specification parameters, quotation, release time fields | Marketing content only requires core trading and indicator data. Filtering redundant fields improves content generation efficiency |
plugin_auth_config | Configure authentication parameters by data source type | Different data sources require exclusive API keys and request headers to ensure compliant calling permissions |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require case-by-case analysis, and it is recommended to test on one’s own samples before finalizing settings.
Three Common Misconfigurations
- Missing or malformed coking coal data fields returned by tool calls, which cannot be directly used to generate marketing content. This occurs when
field_mapping_ruleis not configured, and differences in specification parameter naming across data sources are not unified, leading to inconsistent extraction results. SQL syntax erroris returned when executing multi-line SQL statements using a database connection plugin. This happens when multi-line query support is not enabled. Some database plugins only allow single-statement execution by default, and cannot handle multi-operation statements generated by AI.- Frequent timeouts occur during real-time market tool calls, returning a
504 Gateway Timeoutstatus code. This is caused by failing to adjustplugin_request_timeoutbased on the data source, using an overly short timeout value that cannot accommodate network delays on spot platforms.
How to Verify Proper Configuration
- Manually trigger a tool call, and check if the returned data fields match the rules set by
tool_call_output_filter, with no redundant fields. - Review plugin call logs to confirm that calling cycles for different data sources align with the
scheduled_call_intervalconfiguration, and that real-time market data calling intervals meet requirements. - Run a multi-line SQL statement test to confirm that the database connection plugin can normally return execution results for multiple statements, with no syntax errors.
- Call an online tool to confirm that reference content from specified data sources can be normally obtained, with no permission or access restriction errors.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-14.